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Xiaoning Qian

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Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution

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May 20, 2024
Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon

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Towards Invariant Time Series Forecasting in Smart Cities

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May 08, 2024
Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield

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Complete and Efficient Graph Transformers for Crystal Material Property Prediction

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Mar 18, 2024
Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

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Causal Bayesian Optimization via Exogenous Distribution Learning

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Feb 06, 2024
Shaogang Ren, Xiaoning Qian

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Dynamic Incremental Optimization for Best Subset Selection

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Feb 06, 2024
Shaogang Ren, Xiaoning Qian

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Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data

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Jan 30, 2024
Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon

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Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks

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Sep 06, 2023
Sanket Jantre, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon

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Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

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Jul 17, 2023
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, YuQing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess Smidt, Shuiwang Ji

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Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction

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Jun 26, 2023
Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji

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QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules

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Jun 15, 2023
Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

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